COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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unsupervised learning
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Classifiers
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supervised learning
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Dataset
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Detailed explanation-1: -What type of data does machine learning need? Data can come in many forms, but machine learning models rely on four primary data types. These include numerical data, categorical data, time series data, and text data.
Detailed explanation-2: -What are ML datasets? A machine learning dataset is a collection of data that is used to train the model. A dataset acts as an example to teach the machine learning algorithm how to make predictions.
Detailed explanation-3: -Learning Algorithms Supervised learning-is a machine learning task that establishes the mathematical relationship between input X and output Y variables. Such X, Y pair constitutes the labeled data that are used for model building in an effort to learn how to predict the output from the input.
Detailed explanation-4: -The Different Data Sets of Machine Learning Machine learning typically works with two data sets: training and test. All three should randomly sample a larger body of data. The first set you use is the training set, the largest of the three.